泄漏流:识别通过加密802.11n连接传输的可变比特率DASH视频

Andrew Reed, Benjamin Klimkowski
{"title":"泄漏流:识别通过加密802.11n连接传输的可变比特率DASH视频","authors":"Andrew Reed, Benjamin Klimkowski","doi":"10.1109/CCNC.2016.7444944","DOIUrl":null,"url":null,"abstract":"In recent years, Dynamic Adaptive Streaming over HTTP (DASH) has become the primary method to deliver video on the Internet, with Netflix currently leading the industry. Thus, any method to determine the content of a wireless Netflix stream presents a potential privacy concern for the entire DASH industry. In this paper, we demonstrate that it is possible to identify the Netflix video being streamed over an encrypted 802.11n connection with high accuracy in less than five minutes. Moreover, our technique works in scenarios where it is difficult to capture data frames due to a wireless access point's use of enhancements such as beamforming and multi-input/multi-output transmission.","PeriodicalId":399247,"journal":{"name":"2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC)","volume":"06 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"35","resultStr":"{\"title\":\"Leaky streams: Identifying variable bitrate DASH videos streamed over encrypted 802.11n connections\",\"authors\":\"Andrew Reed, Benjamin Klimkowski\",\"doi\":\"10.1109/CCNC.2016.7444944\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In recent years, Dynamic Adaptive Streaming over HTTP (DASH) has become the primary method to deliver video on the Internet, with Netflix currently leading the industry. Thus, any method to determine the content of a wireless Netflix stream presents a potential privacy concern for the entire DASH industry. In this paper, we demonstrate that it is possible to identify the Netflix video being streamed over an encrypted 802.11n connection with high accuracy in less than five minutes. Moreover, our technique works in scenarios where it is difficult to capture data frames due to a wireless access point's use of enhancements such as beamforming and multi-input/multi-output transmission.\",\"PeriodicalId\":399247,\"journal\":{\"name\":\"2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC)\",\"volume\":\"06 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-03-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"35\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCNC.2016.7444944\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCNC.2016.7444944","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 35

摘要

近年来,基于HTTP的动态自适应流媒体(Dynamic Adaptive Streaming over HTTP, DASH)已经成为在互联网上传输视频的主要方法,其中Netflix目前处于行业领先地位。因此,任何确定无线Netflix流内容的方法都会给整个DASH行业带来潜在的隐私问题。在本文中,我们证明了在不到五分钟的时间内以高精度识别通过加密802.11n连接流式传输的Netflix视频是可能的。此外,我们的技术适用于由于无线接入点使用波束成形和多输入/多输出传输等增强功能而难以捕获数据帧的情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Leaky streams: Identifying variable bitrate DASH videos streamed over encrypted 802.11n connections
In recent years, Dynamic Adaptive Streaming over HTTP (DASH) has become the primary method to deliver video on the Internet, with Netflix currently leading the industry. Thus, any method to determine the content of a wireless Netflix stream presents a potential privacy concern for the entire DASH industry. In this paper, we demonstrate that it is possible to identify the Netflix video being streamed over an encrypted 802.11n connection with high accuracy in less than five minutes. Moreover, our technique works in scenarios where it is difficult to capture data frames due to a wireless access point's use of enhancements such as beamforming and multi-input/multi-output transmission.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信